Claude Haiku 3 vs Llama-3.1-70B-Instruct vs WizardLM 2 8x22B
Claude Haiku 3 comes out ahead, 46 to 42 and 38 on our weighted score.
- Our pick
AnthropicClaude Haiku 3
46/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
MetaLlama-3.1-70B-Instruct
42/100- ECI125.9
- Price$0.72 / $0.72
- Context128K
MicrosoftWizardLM 2 8x22B
38/100- ECI—
- Price$0.493 / $0.493
- Context66K
Claude Haiku 3 is our pick
Claude Haiku 3 is the better all-round choice, scoring 46/100 against Llama-3.1-70B-Instruct (42) and WizardLM 2 8x22B (38). It leads on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because WizardLM 2 8x22B has no Capabilities Index score yet.
- CapabilityLlama-3.1-70B-InstructShared benchmarks: Llama-3.1-70B-Instruct 44.2% · WizardLM 2 8x22B 43.4% · Claude Haiku 3 36.3%
- Lowest priceWizardLM 2 8x22BWizardLM 2 8x22B $0.493 · Claude Haiku 3 $0.50 · Llama-3.1-70B-Instruct $0.72 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Llama-3.1-70B-Instruct 128,000 · WizardLM 2 8x22B 65,536 tokens
- Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Llama-3.1-70B-Instruct: Text · WizardLM 2 8x22B: Text
- Self-hostingLlama-3.1-70B-Instruct and WizardLM 2 8x22BPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Claude Haiku 3 | Llama-3.1-70B-Instruct | WizardLM 2 8x22B |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 36 | 44 | 43 |
| Price | 25% | 61 | 54 | 62 |
| Inputs & features | 15% | 60 | 25 | 0 |
| Context window | 10% | 32 | 24 | 12 |
| Overall | 100% | 46/100 | 42/100 | 38/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 3Anthropic | Llama-3.1-70B-InstructMeta | WizardLM 2 8x22BMicrosoft |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.8 | 125.9 (best) | — |
| ECI rank | #156 of 165 | #149 of 165 (best) | — |
| GPQA DiamondGraduate-level science questions | 36.3% | 44.2% (best) | 43.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% | 3.6% (best) | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $0.72 | $0.493 |
| Output | $1.25 | $0.72 | $0.493 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.50 | $0.72 | $0.493 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 8 providers | Median of 3 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 65,536 tokens |
| Max output | 4,096 tokens | 4,096 tokens | 8,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | OpenApache-2.0 |
| API model ID | — | — | — |
| API providers | 3 | 8 (best) | 3 |
| Released | Mar 13, 2024 | Jul 23, 2024 | Apr 15, 2024 |
| Knowledge cutoff | Aug 31, 2023 | Dec 2023 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Haiku 3$5.00
- Llama-3.1-70B-Instruct$8.64
- WizardLM 2 8x22B$5.92
Which should you choose?
Which is better: Claude Haiku 3, Llama-3.1-70B-Instruct or WizardLM 2 8x22B?
Claude Haiku 3 is the better all-round choice, scoring 46/100 against Llama-3.1-70B-Instruct (42) and WizardLM 2 8x22B (38). It leads on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because WizardLM 2 8x22B has no Capabilities Index score yet.
Which is cheaper, Claude Haiku 3, Llama-3.1-70B-Instruct or WizardLM 2 8x22B?
WizardLM 2 8x22B is cheaper at $0.493 input / $0.493 output per million tokens (median across 3 API providers). Claude Haiku 3 costs $0.25 input / $1.25 output per million tokens (median across 3 API providers); Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 8 API providers). At a typical mix of three input tokens to one output token, that is $0.493 per million tokens for WizardLM 2 8x22B versus $0.50 for Claude Haiku 3 (1× as much) and $0.72 for Llama-3.1-70B-Instruct (1.5× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Llama-3.1-70B-Instruct 44.2%, WizardLM 2 8x22B 43.4% and Claude Haiku 3 36.3%. On individual benchmarks: GPQA Diamond — Llama-3.1-70B-Instruct 44.2%, WizardLM 2 8x22B 43.4%, Claude Haiku 3 36.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3, Llama-3.1-70B-Instruct and WizardLM 2 8x22B yet, so there is no like-for-like coding score. On overall capability, Llama-3.1-70B-Instruct leads, which tends to carry over to coding, but test on your own codebase. Note that WizardLM 2 8x22B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.1-70B-Instruct and 65,536 for WizardLM 2 8x22B. Maximum output per response: Claude Haiku 3 up to 4,096, Llama-3.1-70B-Instruct up to 4,096, WizardLM 2 8x22B up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3 accepts text, images and PDFs; Llama-3.1-70B-Instruct accepts text; WizardLM 2 8x22B accepts text. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Llama-3.1-70B-Instruct and WizardLM 2 8x22B publishes its weights (Apache-2.0) and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Llama-3.1-70B-Instruct is the newest, released Jul 23, 2024. WizardLM 2 8x22B came out Apr 15, 2024; Claude Haiku 3 came out Mar 13, 2024. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Llama-3.1-70B-Instruct Dec 2023.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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